This study is a review to the special issue on artificial intelligence (AI) methods for
groundwater level (GWL) modeling and forecasting, and presents a brief overview of the …

Efficacious operation for dam and reservoir system could guarantee not only a
defenselessness policy against natural hazard but also identify rule to meet the water …

Climate, groundwater extraction, and surface water flows have complex nonlinear
relationships with groundwater level in agricultural regions. To better understand the relative …

Accurate and reliable water temperature forecasting models can help in environmental
impact assessment as well as in effective fisheries management in river systems. In this …

The overexploitation of groundwater resource and its delicacy management has gained
increasing attentions in recent years worldwide because of causing a series of serious …

Understanding groundwater recharge is essential for successful management of water
resources and modeling fluid and contaminant transport within the subsurface. This book …

The application of neural networks (NN) in groundwater (GW) level prediction has been
shown promising by previous works. Yet, previous works have relied on a variety of inputs …

Monitoring groundwater level (GWL) over long time periods is critical in understanding the
variability of groundwater resources in the present context of global changes. However, in …

We have developed two nonlinear time-series models for predicting groundwater level
(GWL) fluctuations using artificial neural networks (ANNs) and support vector machines …

In the Mediterranean area, the high water demand frequently leads to an excessive
exploitation of the water resource, which involves a qualitative degradation of the …